Cognitive radio sensing method and system

Abstract

The cognitive radio system and method uses a wideband chirp signal for characterization of the spectra that a mobile radio may use. A cognitive radio base station broadcasts the low power reference wideband chirp signal with bandwidth covering the sensed spectrum. At the receiver, spectral resolution in the presence of white noise is achieved by cross-correlating the chirp signal with a locally generated copy of itself (i.e., matched filtering). A Fast Fourier Transform (FFT) is applied to the output of this matched filtering. The FFT output is fed to a decision circuitry, where a threshold value is set to decide the minimum amplitude of utilized frequencies. This process eases sensing computational complexity and improves the quality of sensing, thereby offering enhanced cognition at the cognitive radio receiver.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application is a continuation-in-part of my prior U.S. patent application, Ser. No. 13 / 562,133, filed Jul. 30, 2012, which is a continuation of my prior U.S. patent application Ser. No. 12 / 662,656, filed Apr. 27, 2010.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]The present invention relates to radio systems providing wireless voice and data communications, and more particularly, to a cognitive radio sensing method and system that is capable of changing its operating parameters responsive to a changing and unanticipated radio environment, and performs such cognitive functions using a wideband chirp signal to reduce computational complexity.[0004]2. Description of the Related Art[0005]Most traditional radios have their technical characteristics set at the time of manufacture. More recently, radios have been built that self-adapt to one of several preprogrammed radio frequency (RF) environments that might be encounter...

AI Technical Summary

Benefits of technology

The cognitive radio sensing method is a way to improve the ability of radios to detect and analyze other radios in their surroundings. A special radio station broadcasts a low power signal that spreads across the whole spectrum, and this signal is used to create a picture of the radio environment. This picture is then used to make decisions about which radios are present and what frequencies they are using. This can be done quickly and easily, making it easier for radios to understand their surroundings and communicate with each other.

Problems solved by technology

Most cognitive computing systems to date have been based on sensing methodologies, which result in high computational complexity.

The problem of spectrum sensing and characterization is a typical trade-off problem where accuracy and the simplicity are inversely related.

While match filtering is the optimal detection technique, a practical implementation is difficult due to system requirements.

However, system complexity is non-trivial.

Energy detection is the least complex and most inaccurate among the three methods.

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